Two key stylised facts have been established about the extinction patterns of firms. First, the probability of extinction is highest at the start of the firm’s existence, but soon becomes more or less invariant to the age of the firm. Second, a very recent finding, that the relationship between the size and frequency of firm extinctions is closely approximated by a power law. Economic theory ha...

The management of heterogeneous networks requires the capabilities to combine differing types of data and to account for events occurring on different time scales. No single network management methodology is likely to satisfy the diverse needs of today’s networks so as to maintain a desirable level of quality-of-service (QoS)–based performance. Rather, an integrated approach is needed in which ...

Despite several individual forecasting models that have been proposed in the literature, accurate forecasting is yet one of the major challenging problems facing decision makers in various fields, especially financial markets. This is the main reason that numerous researchers have been devoted to develop strategies to improve forecasting accuracy. One of the most well established and widely use...

Introduction: Predicting acute respiratory insufficiency due to coronavirus disease 2019 (COVID-19) can diminish the severe complications and mortality associated with the disease. This study aimed to develop an intelligent system based on machine learning (ML) models for frontline clinicians to effectively triage high-risk patients and prioritize who needs mechanical intubation (MI). Material...

introduction: rainfall is affected by changes in the global sea level change, especially changes in sea surface temperature sst sea surface temperature and sea level pressure slp sea level pressure. climate anomalies being related to each other at large distance is called teleconnection. as physical relationships between rainfall and teleconnection patterns are not defined clearly, we used inte...

This study presents a robust and rigorous method based on intelligent models, namely radial basis function networks optimized by particle swarm optimization (PSO-RBF), multilayer perceptron neural networks (MLP-NNs), and adaptive neuro-fuzzy inference system optimized by particle swarm optimization methods (PSO-ANFIS), for predicting the equilibrium and kinetics of the adsorption of sulfur and ...